William Whiteley
University of Edinburgh
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by William Whiteley.
The Lancet | 2014
Jonathan Emberson; Kennedy R. Lees; Patrick D. Lyden; L Blackwell; Gregory W. Albers; Erich Bluhmki; Thomas G. Brott; Geoff Cohen; Stephen M. Davis; Geoffrey A. Donnan; James C. Grotta; George Howard; Markku Kaste; Masatoshi Koga; Ruediger von Kummer; Maarten G. Lansberg; Richard Lindley; Gordon Murray; Jean Marc Olivot; Mark W. Parsons; Barbara C. Tilley; Danilo Toni; Kazunori Toyoda; Nils Wahlgren; Joanna M. Wardlaw; William Whiteley; Gregory J. del Zoppo; Colin Baigent; Peter Sandercock; Werner Hacke
Summary Background Alteplase is effective for treatment of acute ischaemic stroke but debate continues about its use after longer times since stroke onset, in older patients, and among patients who have had the least or most severe strokes. We assessed the role of these factors in affecting good stroke outcome in patients given alteplase. Methods We did a pre-specified meta-analysis of individual patient data from 6756 patients in nine randomised trials comparing alteplase with placebo or open control. We included all completed randomised phase 3 trials of intravenous alteplase for treatment of acute ischaemic stroke for which data were available. Retrospective checks confirmed that no eligible trials had been omitted. We defined a good stroke outcome as no significant disability at 3–6 months, defined by a modified Rankin Score of 0 or 1. Additional outcomes included symptomatic intracranial haemorrhage (defined by type 2 parenchymal haemorrhage within 7 days and, separately, by the SITS-MOST definition of parenchymal type 2 haemorrhage within 36 h), fatal intracranial haemorrhage within 7 days, and 90-day mortality. Findings Alteplase increased the odds of a good stroke outcome, with earlier treatment associated with bigger proportional benefit. Treatment within 3·0 h resulted in a good outcome for 259 (32·9%) of 787 patients who received alteplase versus 176 (23·1%) of 762 who received control (OR 1·75, 95% CI 1·35–2·27); delay of greater than 3·0 h, up to 4·5 h, resulted in good outcome for 485 (35·3%) of 1375 versus 432 (30·1%) of 1437 (OR 1·26, 95% CI 1·05–1·51); and delay of more than 4·5 h resulted in good outcome for 401 (32·6%) of 1229 versus 357 (30·6%) of 1166 (OR 1·15, 95% CI 0·95–1·40). Proportional treatment benefits were similar irrespective of age or stroke severity. Alteplase significantly increased the odds of symptomatic intracranial haemorrhage (type 2 parenchymal haemorrhage definition 231 [6·8%] of 3391 vs 44 [1·3%] of 3365, OR 5·55, 95% CI 4·01–7·70, p<0·0001; SITS-MOST definition 124 [3·7%] vs 19 [0·6%], OR 6·67, 95% CI 4·11–10·84, p<0·0001) and of fatal intracranial haemorrhage within 7 days (91 [2·7%] vs 13 [0·4%]; OR 7·14, 95% CI 3·98–12·79, p<0·0001). The relative increase in fatal intracranial haemorrhage from alteplase was similar irrespective of treatment delay, age, or stroke severity, but the absolute excess risk attributable to alteplase was bigger among patients who had more severe strokes. There was no excess in other early causes of death and no significant effect on later causes of death. Consequently, mortality at 90 days was 608 (17·9%) in the alteplase group versus 556 (16·5%) in the control group (hazard ratio 1·11, 95% CI 0·99–1·25, p=0·07). Taken together, therefore, despite an average absolute increased risk of early death from intracranial haemorrhage of about 2%, by 3–6 months this risk was offset by an average absolute increase in disability-free survival of about 10% for patients treated within 3·0 h and about 5% for patients treated after 3·0 h, up to 4·5 h. Interpretation Irrespective of age or stroke severity, and despite an increased risk of fatal intracranial haemorrhage during the first few days after treatment, alteplase significantly improves the overall odds of a good stroke outcome when delivered within 4·5 h of stroke onset, with earlier treatment associated with bigger proportional benefits. Funding UK Medical Research Council, British Heart Foundation, University of Glasgow, University of Edinburgh.
BMJ | 2009
Zoe Morris; William Whiteley; W. T. Longstreth; Frank Weber; Yi-Chung Lee; Yoshito Tsushima; Hannah H. Alphs; Susanne C. Ladd; Charles Warlow; Joanna M. Wardlaw; Rustam Al-Shahi Salman
Objective To quantify the prevalence of incidental findings on magnetic resonance imaging (MRI) of the brain. Design Systematic review and meta-analysis of observational studies. Data sources Ovid Medline (1950 to May 2008), Embase (1980 to May 2008), and bibliographies of relevant articles. Review methods Two reviewers sought and assessed studies of people without neurological symptoms who underwent MRI of the brain with or without intravenous contrast for research purposes or for occupational, clinical, or commercial screening. Main outcome measures Overall disease specific and age specific prevalence of incidental brain findings, calculated by meta-analysis of pooled proportions using DerSimonian-Laird weights in a random effects model. Results In 16 studies, 135 of 19 559 people had neoplastic incidental brain findings (prevalence 0.70%, 95% confidence interval 0.47% to 0.98%), and prevalence increased with age (χ2 for linear trend, P=0.003). In 15 studies, 375 of 15 559 people had non-neoplastic incidental brain findings (prevalence 2.0%, 1.1% to 3.1%, excluding white matter hyperintensities, silent infarcts, and microbleeds). The number of asymptomatic people needed to scan to detect any incidental brain finding was 37. The prevalence of incidental brain findings was higher in studies using high resolution MRI sequences than in those using standard resolution sequences (4.3% v 1.7%, P<0.001). The prevalence of neoplastic incidental brain findings increased with age. Conclusions Incidental findings on brain MRI are common, prevalence increases with age, and detection is more likely using high resolution MRI sequences than standard resolution sequences. These findings deserve to be mentioned when obtaining informed consent for brain MRI in research and clinical practice but are not sufficient to justify screening healthy asymptomatic people.
Stroke | 2009
William Whiteley; Wei Li Chong; Anshuman Sengupta; Peter Sandercock
BACKGROUND AND PURPOSE The performance of validated prognostic clinical models in acute ischemic stroke might be improved by addition of data on blood biomarkers. METHODS We searched Medline and EMBASE from 1966 to January 2007 for studies of blood markers in patients with ischemic stroke and an assessment of outcome (death, disability, or handicap). We adopted several strategies to reduce bias. RESULTS Studies were generally small (median number of subjects, 85; interquartile range, 49 to 184). Few had evidence of a sample size calculation (7 of 82 [9%]) or reported blinding to whether patients had stroke (21 of 82 [26%]). Of the 66 studies reporting a measure of association, 10 did not adjust for age or stroke severity, 14 adjusted for age, 7 adjusted for severity, and 35 adjusted for both; 30% (20 of 66) used a data-dependent threshold to predict good or bad outcome. There was evidence of within-study reporting bias and publication bias. Cardiac markers showed the most consistent association with poor outcome. CONCLUSIONS Blood biomarkers might provide useful information to improve the prediction of outcome after acute ischemic stroke. However, this review showed that many studies were subject to bias. Although some markers had some predictive ability, none of the studies was able to demonstrate that the biomarker added predictive power to a validated clinical model. The clinical usefulness of blood biomarkers for predicting prognosis in the setting of ischemic stroke has yet to be established.
BMJ | 2015
Anoop Shah; Kuan Ken Lee; David A. McAllister; Amanda Hunter; Harish Nair; William Whiteley; Jeremy P. Langrish; David E. Newby; Nicholas L. Mills
Objective To review the evidence for the short term association between air pollution and stroke. Design Systematic review and meta-analysis of observational studies Data sources Medline, Embase, Global Health, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Web of Science searched to January 2014 with no language restrictions. Eligibility criteria Studies investigating the short term associations (up to lag of seven days) between daily increases in gaseous pollutants (carbon monoxide, sulphur dioxide, nitrogen dioxide, ozone) and particulate matter (<2.5 µm or <10 µm diameter (PM2.5 and PM10)), and admission to hospital for stroke or mortality. Main outcome measures Admission to hospital and mortality from stroke. Results From 2748 articles, 238 were reviewed in depth with 103 satisfying our inclusion criteria and 94 contributing to our meta-estimates. This provided a total of 6.2 million events across 28 countries. Admission to hospital for stroke or mortality from stroke was associated with an increase in concentrations of carbon monoxide (relative risk 1.015 per 1 ppm, 95% confidence interval 1.004 to 1.026), sulphur dioxide (1.019 per 10 ppb, 1.011 to 1.027), and nitrogen dioxide (1.014 per 10 ppb, 1.009 to 1.019). Increases in PM2.5 and PM10 concentration were also associated with admission and mortality (1.011 per 10 μg/m3 (1.011 to 1.012) and 1.003 per 10 µg/m3 (1.002 to 1.004), respectively). The weakest association was seen with ozone (1.001 per 10 ppb, 1.000 to 1.002). Strongest associations were observed on the day of exposure with more persistent effects observed for PM2·5. Conclusion Gaseous and particulate air pollutants have a marked and close temporal association with admissions to hospital for stroke or mortality from stroke. Public and environmental health policies to reduce air pollution could reduce the burden of stroke. Systematic review registration PROSPERO-CRD42014009225.
PLOS Medicine | 2009
William Whiteley; Caroline Jackson; Steff Lewis; Gordon Lowe; Ann Rumley; Peter Sandercock; Joanna M. Wardlaw; Martin Dennis; Cathie Sudlow
In a prospective cohort study of patient outcomes following stroke, William Whiteley and colleagues find that markers of inflammatory response are associated with poor outcomes. However, addition of these markers to existing prognostic models does not improve outcome prediction.
Stroke | 2012
William Whiteley; Karsten Bruins Slot; Peter M Fernandes; Peter Sandercock; Joanna M. Wardlaw
Background and Purpose— Recombinant tissue plasminogen activator (rtPA) is an effective treatment for acute ischemic stroke but is associated with an increased risk of intracranial hemorrhage (ICH). We sought to identify the risk factors for ICH with a systematic review of the published literature. Methods— We searched for studies of rtPA-treated stroke patients that reported an association between a variable measured before rtPA infusion and clinically important ICH (parenchymal ICH or ICH associated with clinical deterioration). We calculated associations between baseline variables and ICH with random-effect meta-analyses. Results— We identified 55 studies that measured 43 baseline variables in 65 264 acute ischemic stroke patients. Post-rtPA ICH was associated with higher age (odds ratio, 1.03 per year; 95% confidence interval, 1.01–1.04), higher stroke severity (odds ratio, 1.08 per National Institutes of Health Stroke Scale point; 95% confidence interval, 1.06–1.11), and higher glucose (odds ratio, 1.10 per mmol/L; 95% confidence interval, 1.05–1.14). There was approximately a doubling of the odds of ICH with the presence of atrial fibrillation, congestive heart failure, renal impairment, previous antiplatelet agents, leukoaraiosis, and a visible acute cerebral ischemic lesion on pretreatment brain imaging. Little of the variation in the sizes of the associations among different studies was explained by the source of the cohort, definition of ICH, or degree of adjustment for confounding variables. Conclusions— Individual baseline variables were modestly associated with post-rtPA ICH. Prediction of post-rtPA ICH therefore is likely to be difficult if based on single clinical or imaging factors alone. These observational data do not provide a reliable method for the individualization of treatment according to predicted ICH risk.
Stroke | 2008
William Whiteley; Mei-Chiun Tseng; Peter Sandercock
Background and Purpose— The diagnosis of ischemic stroke can be difficult. CT may be normal in the early stages of ischemic stroke or in patients with minor symptoms and MR is not always possible. Many blood markers have been proposed for the diagnosis of stroke in the acute setting. Methods and Results— We have systematically reviewed the diagnostic literature and found 21 studies testing 58 single biomarkers and 7 panels of several biomarkers. Although all show either a high sensitivity or specificity, there are limitations in the design and reporting of all the studies that mean no biomarker can be recommended for use in clinical practice. Conclusions— We make recommendations for the design and reporting of studies of diagnostic blood biomarkers in stroke.
Neurology | 2006
William Whiteley; R. Al-Shahi; Charles Warlow; M. Zeidler; Christian Lueck
We prospectively recorded CSF opening pressure in 242 adults who had a lumbar puncture with concomitant measurement of weight and height. The 95% reference interval for lumbar CSF opening pressure was 10 to 25 cm CSF. Body mass index had a small but clinically insignificant influence on CSF opening pressure.
Stroke | 2012
William Whiteley; Joanna M. Wardlaw; Martin Dennis; Gordon Lowe; Ann Rumley; Naveed Sattar; Paul Welsh; Alison Green; Mary Andrews; Peter Sandercock
Background and Purpose— The prediction of death or disability (“poor outcome”) after stroke by validated clinical models might be improved by the addition of blood biomarker measurements. We investigated whether such measurements improved the classification of patients into 4 categories of predicted risk of poor outcome: very high, intermediate high, intermediate low, and very low. Methods— We prospectively recruited symptomatic patients within 24 hours of ischemic cerebrovascular events. We measured clinical prognostic variables in each patient. We drew blood soon after admission and measured markers of inflammation, thrombosis, cardiac strain, and cerebral damage. We assessed poor outcome at 3 months with the modified Rankin Scale and recovery of symptoms at 24 hours. We measured the association between blood marker levels and poor outcome after adjustment for stroke severity and age with multivariate logistic regression. Where these associations were statistically significant, we calculated the net reclassification index. Results— We recruited 270 patients with acute ischemic cerebrovascular events. At 3 months, 112 patients had a poor outcome. After adjustment for stroke severity and age, only interleukin-6 and N-terminal pro-brain natriuretic peptide were significantly associated with poor outcome. The addition of either interleukin-6 or N-terminal pro-brain natriuretic peptide to National Institutes of Health Stroke Scale and age did not improve the prediction of a poor outcome. Conclusions— Neither interleukin-6 nor N-terminal pro-brain natriuretic peptide had sufficient predictive power to be of clinical use to predict poor outcome after stroke. The search for better markers to improve the classification of patients across clinically relevant boundaries of predicted probabilities of outcome events needs to continue.
Stroke | 2015
Rüdiger von Kummer; Joseph P. Broderick; Bruce C.V. Campbell; Andrew M. Demchuk; Mayank Goyal; Michael D. Hill; Kilian M. Treurniet; Charles B. L. M. Majoie; Henk A. Marquering; Michael V. Mazya; Luis San Román; Jeffrey L. Saver; Daniel Strbian; William Whiteley; Werner Hacke
Intracranial hemorrhage is an important safety end point in clinical trials.1–6 Yet, not each intracranial hemorrhage detected by computed tomography (CT) or magnetic resonance imaging (MRI) worsens neurological symptoms and impairs outcomes. Consequently, intracranial hemorrhages after ischemic stroke and reperfusion therapy are classified by both imaging characteristics and the association with clinical worsening. Pure radiological classification uses the location, form, and extent of hemorrhage and its relation to ischemic injury to distinguish among hemorrhage subtypes that may differ in impairment of neurological function and prognosis. Mixed radiological–clinical classification adds clinical symptoms to the presence of radiological hemorrhage to classify intracranial hemorrhages as symptomatic or asymptomatic. Historically, modern approaches to classifying hemorrhage after reperfusion therapy began with the emphasis of Pessin et al1 on the radiographic distinction between hemorrhagic infarction (HI) and parenchymatous hematoma (PH) after embolic stroke. They stated that HI refers to the pathological condition in which petechial or more confluent hemorrhages occupy a portion of an area of ischemic infarction. PH in an area of infarction; in contrast, is a solid clot of blood with mass effect, which displaces and destroys brain tissue.1 They later proposed that HI (in contrast to PH) could be more of a CT curiosity than a dreaded complication.2 Wolpert et al5 defined HI as areas of barely visible increased density with indistinct margins within an infarct or areas of increased density with indistinct margins and a speckled or mottled appearance or multiple areas of coalescent hemorrhage. A mass effect could be present because of the either edema or hemorrhagic component and PH (later named parenchymal hematoma3) and as very dense, homogenous region(s) of circumscribed increased density usually with mass effect. Both HI and PH are presumably caused by the same postischemic pathophysiology, bleeding from damaged …